• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Multimorbidity in South Asian adults: prevalence, risk factors and mortality.南亚成年人的多种共病:患病率、风险因素和死亡率。
J Public Health (Oxf). 2019 Mar 1;41(1):80-89. doi: 10.1093/pubmed/fdy017.
2
Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia-Bangladesh, Pakistan and Sri Lanka.高血压患者中心血管代谢多重疾病的患病率及其相关因素:一项在南亚农村地区(孟加拉国、巴基斯坦和斯里兰卡)开展的横断面研究
BMJ Open. 2019 Sep 4;9(9):e030584. doi: 10.1136/bmjopen-2019-030584.
3
Temporal change in multimorbidity prevalence, clustering patterns, and the association with mortality: findings from the China Kadoorie Biobank study in Jiangsu Province.多重疾病患病率、聚集模式的时间变化及其与死亡率的关联:中国江苏省卡多里生物银行研究的结果
Front Public Health. 2024 Apr 18;12:1389635. doi: 10.3389/fpubh.2024.1389635. eCollection 2024.
4
Incidence and pathophysiology of diabetes in South Asian adults living in India and Pakistan compared with US blacks and whites.南亚裔印度人和巴基斯坦裔成年人与美国黑人和白人相比的糖尿病发病率和病理生理学。
BMJ Open Diabetes Res Care. 2021 Mar;9(1). doi: 10.1136/bmjdrc-2020-001927.
5
Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies.“南亚表型”是否为南亚人所特有?:比较CARRS和NHANES研究中的心血管代谢危险因素。
Glob Heart. 2016 Mar;11(1):89-96.e3. doi: 10.1016/j.gheart.2015.12.010.
6
Prevalence of dyslipidaemia and factors associated with dyslipidaemia among South Asian adults: The Center for Cardiometabolic Risk Reduction in South Asia Cohort Study.南亚成年人血脂异常的患病率及血脂异常相关因素:南亚心血管代谢风险降低中心队列研究。
Natl Med J India. 2020 May-Jun;33(3):137-145. doi: 10.4103/0970-258X.314005.
7
Prevalence of and factors associated with multimorbidity among 18 101 adults in the South East Asia Community Observatory Health and Demographic Surveillance System in Malaysia: a population-based, cross-sectional study of the MUTUAL consortium.在马来西亚东南亚社区观察站健康和人口监测系统中,对 18101 名成年人进行的基于人群的横断面研究,分析多重疾病的患病率及其与多重疾病相关的因素:MUTUAL 联盟研究。
BMJ Open. 2022 Dec 23;12(12):e068172. doi: 10.1136/bmjopen-2022-068172.
8
Association of Diabetes With All-Cause and Cause-Specific Mortality in Asia: A Pooled Analysis of More Than 1 Million Participants.亚洲人群中糖尿病与全因及特定原因死亡率的相关性:一项超过 100 万参与者的汇总分析。
JAMA Netw Open. 2019 Apr 5;2(4):e192696. doi: 10.1001/jamanetworkopen.2019.2696.
9
Impact of multimorbidity and complex multimorbidity on mortality among older Australians aged 45 years and over: a large population-based record linkage study.多病症和复杂多病症对 45 岁及以上澳大利亚老年人死亡率的影响:一项大型基于人群的记录链接研究。
BMJ Open. 2022 Jul 26;12(7):e060001. doi: 10.1136/bmjopen-2021-060001.
10
Potentially Heterogeneous Cross-Sectional Associations of Seafood Consumption with Diabetes and Glycemia in Urban South Asia.城市南亚地区海鲜消费与糖尿病和血糖的潜在异质横断面关联。
Int J Environ Res Public Health. 2020 Jan 10;17(2):459. doi: 10.3390/ijerph17020459.

引用本文的文献

1
Prevalence, patterns of multimorbidity, and its correlations with health-related quality of life in rural southwest China: a cross-sectional study.中国西南部农村地区的患病率、多重疾病模式及其与健康相关生活质量的相关性:一项横断面研究。
Front Med (Lausanne). 2025 Aug 21;12:1609831. doi: 10.3389/fmed.2025.1609831. eCollection 2025.
2
Navigating fragmented care: a qualitative study on multimorbidity management challenges in Beijing's tiered healthcare system.应对碎片化医疗:一项关于北京分级医疗体系中多重疾病管理挑战的定性研究。
BMC Prim Care. 2025 Aug 28;26(1):270. doi: 10.1186/s12875-025-02967-y.
3
Identification and trajectory of multimorbidity patterns among older people in China: a longitudinal study based on the China health and retirement longitudinal study 2011-2020 data.中国老年人多重疾病模式的识别与轨迹:基于中国健康与养老追踪调查2011 - 2020年数据的纵向研究
Front Public Health. 2025 Jul 21;13:1597224. doi: 10.3389/fpubh.2025.1597224. eCollection 2025.
4
Overview of multimorbidity research in India: A scoping review.印度多重疾病研究综述:一项范围综述。
J Multimorb Comorb. 2025 Jul 4;15:26335565251355837. doi: 10.1177/26335565251355837. eCollection 2025 Jan-Dec.
5
Multimorbidity and its correlates in middle-aged and older adults in a city of North India.印度北部某城市中老年人群的多重疾病及其相关因素
J Family Med Prim Care. 2025 May;14(5):1850-1857. doi: 10.4103/jfmpc.jfmpc_1764_24. Epub 2025 May 31.
6
Towards a new perspective: Exploring the variability of conditional risk factors for multimorbidity susceptibility among older adults in India.迈向新视角:探索印度老年人多种疾病易感性的条件风险因素的变异性。
PLoS One. 2025 Jun 17;20(6):e0323890. doi: 10.1371/journal.pone.0323890. eCollection 2025.
7
Analysis of chronic disease comorbidity patterns in middle-aged and elderly smokers in China: The China Health and Retirement Longitudinal Study.中国中老年吸烟者慢性病共病模式分析:中国健康与养老追踪调查
PLoS One. 2025 Mar 28;20(3):e0319026. doi: 10.1371/journal.pone.0319026. eCollection 2025.
8
Prevalence and risk factors of the most common multimorbidity among Canadian adults.加拿大成年人中最常见的多种慢性病共病的患病率及风险因素。
PLoS One. 2025 Jan 22;20(1):e0317688. doi: 10.1371/journal.pone.0317688. eCollection 2025.
9
Complex patterns and determinants of regional multiple chronic conditions across the United States.美国各地区域性多种慢性病的复杂模式及决定因素。
PNAS Nexus. 2024 Nov 14;3(12):pgae513. doi: 10.1093/pnasnexus/pgae513. eCollection 2024 Dec.
10
Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis.尼泊尔的多病共存流行病学:一项系统评价与荟萃分析。
J Multimorb Comorb. 2024 Sep 14;14:26335565241284022. doi: 10.1177/26335565241284022. eCollection 2024 Jan-Dec.

本文引用的文献

1
Association Between Body Mass index and Prevalence of Multimorbidity in Low-and Middle-income Countries: A Cross-Sectional Study.低收入和中等收入国家体重指数与多种疾病患病率之间的关联:一项横断面研究。
Int J Med Public Health. 2016 Apr;6(2):73-83. doi: 10.5530/ijmedph.2016.2.5.
2
Measurement and decomposition of socioeconomic inequality in single and multimorbidity in older adults in China and Ghana: results from the WHO study on global AGEing and adult health (SAGE).中国和加纳老年人单病种和多病种中社会经济不平等的测量和分解:来自世卫组织全球老龄化和成人健康研究(SAGE)的结果。
Int J Equity Health. 2017 May 15;16(1):79. doi: 10.1186/s12939-017-0578-y.
3
Development and Validation of a Questionnaire to Assess Multimorbidity in Primary Care: An Indian Experience.用于评估基层医疗中多种疾病共患情况的问卷的开发与验证:一项印度的经验。
Biomed Res Int. 2016;2016:6582487. doi: 10.1155/2016/6582487. Epub 2016 Feb 7.
4
Challenges of managing people with multimorbidity in today's healthcare systems.当今医疗体系中管理患有多种疾病的人群所面临的挑战。
BMC Fam Pract. 2015 Oct 14;16:129. doi: 10.1186/s12875-015-0344-4.
5
Prevalence and outcomes of multimorbidity in South Asia: a systematic review.南亚多重疾病的患病率及转归:一项系统评价
BMJ Open. 2015 Oct 7;5(10):e007235. doi: 10.1136/bmjopen-2014-007235.
6
Prevalence, correlates, and outcomes of multimorbidity among patients attending primary care in Odisha, India.印度奥里萨邦初级保健患者中多种疾病的患病率、相关因素及结局
Ann Fam Med. 2015 Sep;13(5):446-50. doi: 10.1370/afm.1843.
7
The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal?多重疾病对低收入和中等收入国家成年人身心健康的影响:全球老龄化与成人健康研究(SAGE)揭示了什么?
BMC Med. 2015 Aug 3;13:178. doi: 10.1186/s12916-015-0402-8.
8
Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis.非传染性疾病共病对中等收入国家医疗保健利用和自付费用的影响:横断面分析
PLoS One. 2015 Jul 8;10(7):e0127199. doi: 10.1371/journal.pone.0127199. eCollection 2015.
9
Prevalence and costs of multimorbidity by deprivation levels in the basque country: a population based study using health administrative databases.西班牙巴斯克地区不同贫困水平下的多重疾病患病率及成本:一项基于健康管理数据库的人群研究
PLoS One. 2014 Feb 27;9(2):e89787. doi: 10.1371/journal.pone.0089787. eCollection 2014.
10
Disability and chronic disease among older adults in India: detecting vulnerable populations through the WHO SAGE Study.印度老年人的残疾和慢性病:通过世卫组织 SAGE 研究发现脆弱人群。
Am J Epidemiol. 2013 Dec 1;178(11):1620-8. doi: 10.1093/aje/kwt191. Epub 2013 Sep 18.

南亚成年人的多种共病:患病率、风险因素和死亡率。

Multimorbidity in South Asian adults: prevalence, risk factors and mortality.

机构信息

Public Health Foundation of India, Gurgaon, Haryana, India.

Centre for Control of Chronic Conditions, Gurgaon, Haryana, India.

出版信息

J Public Health (Oxf). 2019 Mar 1;41(1):80-89. doi: 10.1093/pubmed/fdy017.

DOI:10.1093/pubmed/fdy017
PMID:29425313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7304513/
Abstract

BACKGROUND

We report the prevalence, risk factors and mortality associated with multimorbidity in urban South Asian adults.

METHODS

Hypertension, diabetes, heart disease, stroke and chronic kidney disease were measured at baseline in a sample of 16 287 adults ages ≥20 years in Delhi, Chennai and Karachi in 2010-11 followed for an average of 38 months. Multimorbidity was defined as having ≥2 chronic conditions at baseline. We identified correlates of multimorbidity at baseline using multinomial logistic models, and we assessed the prospective association between multimorbidity and mortality using Cox proportional hazards models.

RESULTS

The adjusted prevalence of multimorbidity was 9.4%; multimorbidity was highest in adults who were aged ≥60 years (37%), consumed alcohol (12.3%), body mass index ≥25 m/kg2 (14.1%), high waist circumference (17.1%) and had family history of a chronic condition (12.4%). Compared with adults with no chronic conditions, the fully adjusted relative hazard of death was twice as high in adults with two morbidities (hazard ratio [HR] = 2.3; 95% confidence interval [CI]: 1.6, 3.3) and thrice as high in adults with ≥3 morbidities (HR = 3.1; 95% CI: 1.9, 5.1).

CONCLUSION

Multimorbidity affects nearly 1 in 10 urban South Asians, and each additional morbidity carries a progressively higher risk of death. Identifying locally appropriate strategies for prevention and coordinated management of multimorbidity will benefit population health in the region.

摘要

背景

我们报告了城市南亚成年人中多种疾病的流行率、风险因素和死亡率。

方法

在 2010-11 年,德里、钦奈和卡拉奇的一项样本中,对 16287 名年龄≥20 岁的成年人测量了高血压、糖尿病、心脏病、中风和慢性肾病,平均随访 38 个月。多种疾病定义为基线时有≥2 种慢性疾病。我们使用多项逻辑回归模型确定基线时多种疾病的相关因素,并使用 Cox 比例风险模型评估多种疾病与死亡率之间的前瞻性关联。

结果

调整后的多种疾病患病率为 9.4%;≥60 岁的成年人(37%)、饮酒者(12.3%)、身体质量指数≥25 m/kg2(14.1%)、高腰围(17.1%)和有慢性疾病家族史的成年人(12.4%)中多种疾病的患病率最高。与无慢性疾病的成年人相比,有两种疾病的成年人的全调整死亡相对风险高两倍(危险比[HR] = 2.3;95%置信区间[CI]:1.6,3.3),有≥3 种疾病的成年人的死亡相对风险高三倍(HR = 3.1;95% CI:1.9,5.1)。

结论

多种疾病影响了近 1/10 的城市南亚成年人,每增加一种疾病,死亡风险就会逐渐增加。确定适合当地的预防和协调管理多种疾病的策略将有益于该地区的人口健康。